About Client : -
Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.
The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organisations accelerate their transition to a digital and sustainable world.
They provide a variety of services, including consulting, technology, professional, and outsourcing services.
Job Details : -
location : Bangalore
Mode Of Work : Hybrid
Notice Period : Immediate Joiners
Experience : 8 - 10 yrs
Type Of Hire : Contract to Hire
JOB DESCRIPTION : JD
As a Data Engineer in the WLO Program, you will be accountable for building & managing the data pipelines required to support WLO Data loads and downstream reporting requirements. You will help establish and validate the data sourcing requirements, build pipelines to curate data sets required and support the creation of output interfaces required for downstream consumption requirements, including reporting, model monitoring.
Core Accountabilities
- Design data structures and processes for data ingestion, integration and analytics layers on a variety of
AWS
(LAMBDA) & Google Cloud Platform ( GCP ) technologies (e.g. Cloud Run, CloudSQL, Google Cloud Storage, BigQuery, Vertex AI) and tooling such as DBT, PYTHON language working together to support the WLO program workflow.
Working in a cross skilled squad with people both from business and technology to build end to end capabilities and support project deliverable outcomes.Contribute to design patterns for on-premise and cloud.Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.Implement automated controls to support data quality and process quality verification, auditability and reconciliation.A strong background in data processing and software engineering and can build high quality, scalable data productsStrong Software Engineering experience with proficiency in at least one high-level programming language ( Py thon , Java, Scala)Experience and proficiency in Amazon & Google Cloud Platform technologiesStrong ability to translate data insights into practical business recommendationDesirable to have good Commercial domain knowledge of ANZ systemsData Engineering Languages - Solving complex problems using programming techniques, drives consistency across teams, and Leading code quality improvements with large-scale changes.Data Flow Engineering - Designing and leading complex data flow projects, making informed choices about pipeline architectures and ensuring optimal performance.Data Quality Assurance - Leading the design and implementation of complex data flow solutions, making informed decisions on technical choices and ensuring optimal performance.Data Modelling - Designing and implementing solutions with different data modelling techniques as appropriate. Good to have knowledge about BIAN.Documentation - Anticipating documentation needs for both technical and non-technical audiences, coaching others, and contributes to organizational documentation standards, including in support of knowledge management and data management needs.Soft Skills – Communication, Problem Solving, Planning and Prioritisation, Critical ThinkingIncident, Risk and Issue Management - Independently assesses operational risks, applies security policies to mitigate issues, leads strategic incident management, and mentors others for effective response.Change Management - Developing and implementing change plans, analysing culture and readiness, with minimal guidance.Agile practices, Data & AI Privacy & Ethics - Effectively participates in Agile teams, adapting to iterative processes and new ways of working. Applying data and AI risk, privacy laws and ethical guidelines to ensure compliance in various data-related activities.Testing, Tools & system - Responsible for developing advanced testing methodologies, creating comprehensive strategies, mentoring teams to ensure high-quality deliverables, and applying domain knowledge to independently solve problems and improve systems or processes.Data Engineer roles are available at multiple job grades. Variation in job grades for the Data Engineer role cover level of expertise, skills and autonomy in the following areas :
Customer FocusContinuous improvement and changeProblem solvingMarket / Industry knowledgeInfluencing & Relationship BuildingData Visualisation and story tellingModelling / Predictive Analytics skillsUnderstanding depth & breadth of dataFinancial / Business / Commercial / Market Acumen